neural plate
英 [ˈnjʊərəl pleɪt]
美 [ˈnʊrəl pleɪt]
神经板
双语例句
- The neural network model can be used to predict the medium and heavy plate rolling temperature, it can also be used for artificial neural networks in other automatic control.
该神经网络模型可应用于中厚板轧制温度的预测，也可为人工神经网络在其它自动控制方面的应用提供参考。 - Application of neural net-work in the optimization of cold-bending property of steel plate for car beam
神经网络在汽车大梁用钢板冷弯性能优化上的应用 - An Application of Unsharp Masking Realized by Neural Networks in Identification for License Plate
神经网络反锐化掩模算法在车牌识别中的应用 - Consequently, neural network has widely application foreground in recognition of defects in steel plate.
因此，神经网络在钢板的表面缺陷分类中有很好的应用前景。 - Results showed that artificial neural network calculated value of plate front end bending during rolling conformed to measured value;
结果表明，轧制过程钢板头部弯曲的人工神经网络计算值与实测值符合； - Model Identification Theory Using Neural Network and Its Application in Plate Rolling Control Flatness and gauge are two important primary criteria in strip process, and recently they are at the front line of current study on strip rolling technology.
神经网络辨识方法及其在轧钢控制中的应用板形和板厚是轧钢控制中的两个重要的指标，也是当前板带轧制技术研究的前沿课题。 - A method based on rough set and RBF neural network for the car's plate character recognition
基于Rough集和RBF网络的车牌字符识别方法 - Vertical and planar induction in early amphibian development during MESO-ENDODERM formation and neural plate development
两栖类早期发育中一内胚层形成和神经板发育之垂直的和平面的诱导作用 - This expert system takes advantages of both neural network and rule reasoning expert system, it can make use of all kinds of knowledge in the repository to diagnose the crack in thin plate with the positive and negative mixing reasoning mode.
该系统充分利用神经网络与规则推理的优点，采用正反向混合推理方式调用知识库中的各种知识进行薄板结构的裂纹诊断。 - Application of Neural Networks to Predict Rolling Force of Plate Rolling Mill
人工神经网络在中厚板轧机轧制力预报中的应用 - Application of BP Neural Network in Prediction of Mechanical Properties of Hot Rolled Plate
BP神经网络在热轧中厚板力学性能预测中的应用 - FGF control cell migration and establishment of the anterior-posterior body axis of the neural plate during gastrulation.
在胚胎发育初期，FGF可诱导原肠胚形成期间的细胞迁移和神经板前后体轴的建立； - Based on the technology of combining numerical simulation with artificial neural network to improving the design of blanks of automobile plate
基于数值模拟和人工神经网络技术的汽车覆盖件坯料设计优化 - Application of BP neural network in combination with mathematical models to prediction of plate crown
BP神经网络和数学模型在中厚板板凸度预报中的综合应用 - Resolution of Chromatographic Peaks by Radial Basis Function Neural Network Based on Plate Model Based on a Developed Sorting Genetic Algorithm
基于改进排序遗传算法的径向基函数神经网络色谱峰解析 - An Improved BP Neural Network Method Applied to Vehicle License Plate Location
一种用于车牌定位的改进BP神经网络方法 - Based on heat transfer data in experimental equipment of out flow plate type falling film evaporator, an artificial neural network model for temperature distribution on heating element plate is developed.
根据外流板式降膜蒸发器实验装置的传热实验数据，建立了传热元件板片温度分布的人工神经网络模型。 - The integrated neural networks void under rigid pavement plate identification technology was put forward based on the information fusion theory. Taking the sub-neural networks as primary separation identification from different sides, the conclusions were gained through decision-making fusion.
提出采用基于信息融合理论的集成神经网络技术对混凝土路面脱空状况进行识别，通过路面脱空输入特征向量的组合，用各子神经网络对混凝土路面脱空进行初步缺陷识别，然后对识别结果进行决策融合。 - AIM: To compare the clinical bone graft fusion rate and the recovery effect of neural function after simple bone grafting or bone grafting plus anterior steel plate internal fixation in one or two cervical spinal spaces after anterior cervical diskectomy.
目的：比较单、双间隙颈椎前路椎间盘切除单纯植骨与植骨加前路钢板的临床骨融合率及对神经功能恢复的影响。 - This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm.
通过引入LM优化算法，针对矩形薄板中对称结构的损伤识别问题，提出了一种基于神经网络的分区域分步识别方法。 - Using the trained BP neural network, some random samples are selected to do classification for PS plate samples, the experimental results show that the recognition accuracy of the results meets the requirements of the technical indicators.
利用训练好的BP神经网络，随机抽取PS版样本进行分类识别，实验结果表明，识别结果的准确率满足课题指标的要求。 - Through self-adaptable to BP neural network license plate character recognition character recognition to achieve the correct rate and real-time requirements, neural network parameters are repeatedly tested by experiment and adjust to obtain the ideal value.
通过自适应性强的BP神经网络对车牌进行字符识别以达到字符识别正确率和实时性要求，神经网络参数是通过实验反复测试和调整取得的理想值。 - Then compared the method of neural network and regression, verified the accuracy of prediction result and have some guiding significance to the study of curved hull plate forming.
将神经网络预报与模型预报进行对比，并对预报结果准确性进行了验证，对感应加热船体曲板成形的研究具有一定的指导意义。 - In this dissertation, modern signal processing technique, namely wavelet technology is applied to the intelligent transportation field, which is License Plate Recognition System. And improved BP neural network is adopted to recognize license plate characters.
本文将现代信号处理技术&小波技术，应用到智能交通领域，即车牌识别技术当中来，并结合改进的BP神经网络对车牌字符进行分类识别。 - According to the different static and dynamic characteristics of plates, the use of BP neural networks were designed license plate recognition of static and dynamic recognition algorithm.
根据静态和动态车牌的不同特点，利用BP神经网络分别设计了车牌静态识别和动态识别算法。 - In this paper, use the direction and length of motion blur algorithm for automatic identification, license plate location algorithm, skew correction and character segmentation algorithm, BP neural network algorithm to solve the problem of motion blur license plate recognition.
本文应用运动模糊方向和长度自动辨识算法、车牌定位算法、倾斜校正与字符分割算法、BP神经网络识别算法等来解决运动模糊车牌识别问题。 - As one of the most popular neural network algorithm, BP neural network was widely used in the recognition of vehicle license plate.
BP神经网络作为一种应用最为广泛的神经网络学习算法，在车牌识别中得到了广泛应用。 - This article focuses on the character recognition method based on BP neural network, and analyze its learning and training process, and using this method to achieve license plate character recognition.
本文着重对基于BP神经网络的字符识别方法进行了研究，并分析了其学习训练流程，并采用此方法实现了车牌字符的识别。 - According to the process, multiple linear regression model and neural network model are established to estimate the time of plate pressing process. Through comparisons of the two models 'results, the neural network model is chosen to estimate the plate pressing process time.
对于板材压弯建立了多元线性回归模型和神经网络模型，根据作业实际收集数据对这两种模型进行对比分析，从而选择神经网络模型用于估算板材滚弯加工的工时。 - First, extract the Haar features of license plate characters as input, then train a neural network based cascaded classifier to recognize the license plate characters. Finally, locate the license plate according to the relative positions of the characters.
首先提取车牌字符的Haar特征作为输入，通过级联的神经网络分类器进行识别，定位车牌字符的位置，最后根据定位出的车牌字符位置的相对关系来确定车牌的位置。